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Machine Learning Engineer and Researcher
2 months ago
We are seeking a highly skilled Machine Learning Engineer and Researcher to join our Data and Machine Learning Innovation (DMLI) team at Apple. As a member of this team, you will have the opportunity to work on ambitious, curiosity-driven long-term research projects that will impact the future of Apple and our products.
Key Responsibilities- Apply innovative research in machine learning to tackle complex data annotation and product evaluation problems.
- Develop machine-based grading models to reduce annotation costs and turnaround time.
- Build pipelines to automate the assessment of quality of data used for training foundational models and adapter models.
- Conduct research to improve efficacy of data curation through identifying grading errors, bias, and distribution disparity.
- Uncover patterns in data and use modern statistical and ML-based methods to model data distributions.
- 5+ years of experience with developing and evaluating ML applications.
- Demonstrated experience in understanding and improving data quality.
- Experience writing automated unit, integration, and acceptance tests.
- Experience with database and SQL skills.
- B.S. in Machine Learning, Computer Science, Statistics, Operations Research, or related areas.
- Proven expertise in machine learning with a passion for model evaluation and applications.
- Experience with natural language processing (NLP) and large language models.
- Strong programming skills and hands-on experience using Python, PyTorch, or Jax.
- Demonstrated publication record in relevant conferences.
At Apple, we offer a comprehensive compensation package, including base pay, discretionary bonuses, and commission payments. We also provide benefits such as comprehensive medical and dental coverage, retirement benefits, and a range of discounted products and free services. Additionally, this role may be eligible for relocation assistance.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
